Machine Learning Courses, Certification & Training

Courses (18)

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What is Machine Learning?

Machine Learning is a field of computer science, which uses statistical methods to inculcate a learning ability in computers with the help of data, without explicit programming. It has become a prominent area in data analytics where machines can provide accurate data predictions using historical data.

A certification course in machine learning helps you learn advanced skills to boost your career further in data analytics. Software Developers and Data Analysts can get skilled in machine learning to move to a more data critical position like a Data Scientist or a Machine Learning Engineer.

• It is useful in the analysis of real-time data which can help organisations to optimise their processes for better performance.
• Automation of data entry and cleansing can be done through machine learning to save on time and resources, otherwise wasted on those activities.
• It is easier to make accurate customer behavioural predictions through machine learning.
• It can be used to perform complex computational problems on large sets of data within a reasonable amount of time.

• It is an in-demand skill and organisations are looking for candidates who are proficient in machine learning.
• Based on a Naukri survey, 67% of the recruiters mentioned that they prefer certified candidates and are also willing to pay higher.
• You can earn above average salary in data analytics industry. Companies offer best-in-the-industry salary to professionals who have knowledge of machine learning.

What are the key skills associated with Machine Learning?

• Knowledge of statistical and probability models, theories and metrics.
• Firm understanding of applied mathematics and major algorithms.
• Basic knowledge of distributed computing like Apache Hadoop and cloud services like AWS.
• Experience in any programming language like R, Python, Java or Scala.

Frequently Asked Questions

There is no industry-specific certification in machine learning. Naukri Learning provides some of the top quality professional online courses in machine learning..

2. What are the prerequisites for enrolling in a Machine Learning course?

There are no specific pre-requisites for learning Machine Learning. However, if you should have basic knowledge of data analysis and one of the programming languages like R and Python..

3. How long does it to take to complete a Machine Learning certification course?

It depends on the type of certification course you have enrolled in. However, all the courses in Naukri Learning offer you ample time to complete your course within the validity and earn a certification..

4. How much does a Machine Learning course cost?

The cost of the courses in machine learning varies and you can choose the one that is best-suited for you..

5. Are there any courses available in live instructor-led online class format?

There are no pre-requisites for enrolling in a machine learning course on Naukri Learning. You just need to fill in the details and pay the course fees. You can contact through e-mail or the toll-free number to get expert help who will guide you through the process..

7. What can I expect from a Machine Learning course?

All the courses on Naukri Learning are offered by top quality course providers and are curated by experts. You can expect to get a comprehensive knowledge in the field and become job ready..

8. How difficult is machine learning?

Machine learning is a growing field in data analytics. It can be said to be a mix of programming language, data science and mathematics. If you have basic knowledge in those areas, you will not find it difficult to get started. However, it can be tricky if you do not have proper guidance and learning curve. This is where Naukri Learning can help you with some of the comprehensive machine learning courses that it provides, which will help you to learn the skills and start a career in this field..

9. What is the future of Machine Learning in India?

It is one of the top ten technological trends in India. According to a research by Accenture, around 88% of the businesses are going to make moderate to extensive investments in the field of machine learning in the next few years. This shows a huge scope for machine learning professionals..

10. How should I pursue a career in Machine Learning?

To pursue a career in machine learning, you need to be equally skillful in any programming language like Python or R, mathematics, data analysis tools and database management. Usually, it is advisable to start learning the fundamentals of data analysis with a programming language, then gradually move into machine learning..

11. How to start a career in Machine Learning as a fresh graduate?

If you are a fresh graduate, a certification course in machine learning can truly help you to showcase your skills for a job opportunity. Naukri Learning offers a variety of professional online courses in machine learning which can help you to pursue a career in the field.".

Mode of learning

Machine Learning with Python course discusses concepts of the Python language such as file operations, sequences, object-oriented concepts, etc. along with some of the most commonly leveraged Python libraries like Numpy, Pandas, Matplotlib, etc. The course will then move on to introduce learners to the detailed mechanisms of Machine Learning. Learners will understand in detail the significance of the implementation of Machine Learning in the Python programming language, and leverage this knowledge in their role as data scientists. | After completing the course, one would have learnt about tools to train machines based on real-world situations using Machine Learning algorithms, as well as to create complex algorithms based on concepts related to deep learning and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of Machine Learning with Python for a holistic learning experience which would prepare them to create applications efficiently.

This course is an advanced level training on Machine Learning application and algorithms. It will ensure you get hands on experience in multiple and highly used machine learning skills in both supervised and unsupervised learning. This machine learning training ensures you can apply machine learning algorithms like Regression, clustering, classification and recommendation.The unique case study approach ensures you are working hands on with data while you learn. Finally the course trains you in deep learning and Spark Machine learning, skills which are in great demand today.

The course focuses on breaking down the important concepts, algorithms, and functions of Machine Learning. The course starts at the very beginning with the building blocks of Machine Learning and then progresses onto more complicated concepts. Each project adds to the complexity of the concepts covered in the project before it.

Applied Machine Learning with R is a hands-on course Machine Learning and Artificial Intelligence course. This course covers the core concepts of machine learning, along with machine learning algorithms. You will also learn how to implement those machine learning algorithms with R and after completion of the course, you will be able to use them in your own projects.

In this course, we will discuss Azure Machine Learning in detail. You will learn what features it provides and how it is used. We will explore how to process some real-world datasets and find some patterns in that dataset.This course teaches you how to design, deploy, configure and manage your machine learning models with Azure Machine Learning. The course will start with an introduction to the Azure ML toolset and features provided by it and then dive deeper into building some machine learning models based on some real-world problems

This course gives an insight into the basics of Tensorflow covering topics like tensors, operators and variables. It is a good option to master machine learning, its types and various main algorithms including linear regression. Furthermore, this course also covers advanced machine learning like a neural network, convolution neural network and others. Here, you’ll also gain the practice by implementing it in a project on Deep Neural Network. | Machine Learning With TensorFlow is a professional programme. It provides a complete insight of Tensorflow, tensors, operators and variables. Machine Learning With TensorFlow also includes other topics like – Getting started with Tensorflow, Tensorflow Basics, Machine Learning Basics, Main Algorithms including linear regression, Advanced Machine Learning

This course covers main aspect of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.

The Deep Learning Masterclass: Classify Images with Keras is an interactive course that is designed to help a beginner turn into a data modeler. The course starts with basic concepts of Keras and goes to the advanced concepts of machine learning and neural networks. The participants will also get to build their image classifier model from scratch.

Learn Machine Learning By Building Projects is a comprehensive programme. This programme helps you to understand the complex concepts of machine learning through mathematics and algorithms. This course will give you a deeper knowledge of mathematics that will help you to build algorithms and networks for your upcoming machine learning and artificial intelligence (AI) projects. The course is divided into three sections, including – | Linear Algebra: This helps to describe the parameters and structure of different machine learning algorithms. Linear Algebra also gives an insight of how neural networks should be put together and operate. | Multivariate Calculus: This helps in learning the subject in an easier manner with the help of examples and parameters of different models for better performance. | Probability Theory: This topic covers key probability distributions, useful in designing deep learning or AI algorithms. | The course also includes some projects and quizzes, which help to understand the mathematical concepts better. The mode of learning is online self-study.

This course is for you if you are new to Machine Learning but want to learn it without all the math. This course is also for you if you have had a machine learning course but could never figure out how to use it to solve your own problems.

Artificial Intelligence (AI) represents a major step forward in how computer systems adapt, evolve and learn. It has widespread applications in almost every industry and is widely considered to be the next big technological shift, similar in scale to past shifts such as the industrial revolution, the computer age, and the smartphone revolution | Gain expertise in one of the most fascinating and fastest growing areas of computer science through an innovative online program that covers fascinating and compelling topics in the field of Artificial Intelligence and its applications. This MicroMasters® Program from Columbia University will give you a rigorous, advanced, professional, graduate-level foundation in Artificial Intelligence. The program represents 25% of the coursework toward a Masters degree in Computer Science at Columbia

Machines have been driving our existence since the first industrial revolution to the current industry 4.0. It is, thus, imperative to be a part of this revolution by acquainting yourself with the formidable technology platforms like Machine Learning, AI, & Deep Learning | In this age of innovation and disruption, the technology landscape changes rapidly. One has to be on their toes all the time to remain updated and upgraded. In such a scenario, a course that incorporates the concepts of Advanced Machine Learning with Deep Learning in one package can be the best bet to learn and train yourself | Cognixia offers a comprehensive training package based on a case-study approach where participants are exposed to the pragmatic aspects of learning Advanced Machine Learning, AI, & Deep Learning

MACHINE LEARNING (ML) is the construction of algorithms that one can learn from and respond to large data sets faster and make effective predictions. It instructs computers to find patterns in data without being explicitly programmed. As data grows in volume and becomes more complex, the applications of ML are becoming widespread. Key applications of ML include: Trading Patterns & Efficiencies in Global Financial Markets, Fraud Prediction & Detection for Banks, Recommender & Predictor Systems for Retail & E-Commerce, Transportation Management & Traffic Shaping for Smart Cities and Predictive Techniques for Autonomous Vehicles. This course is number 1 in-demand skill globally among programmers. Machine Learning specialists usually get a substantial hike in earnings depending on their experience and capabilities.

Machine Learning with Python course discusses concepts of the Python language such as file operations, sequences, object-oriented concepts, etc. along with some of the most commonly leveraged Python libraries like Numpy, Pandas, Matplotlib, etc. The course will then move on to introduce learners to the detailed mechanisms of Machine Learning. Learners will understand in detail the significance of the implementation of Machine Learning in the Python programming language, and leverage this knowledge in their role as data scientists. | After completing the course, one would have learnt about tools to train machines based on real-world situations using Machine Learning algorithms, as well as to create complex algorithms based on concepts related to deep learning and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of Machine Learning with Python for a holistic learning experience which would prepare them to create applications efficiently.

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